Differential sequential patterns supporting insulin therapy of new-onset type 1 diabetes.
Biomed Eng Online
; 14: 13, 2015 Feb 21.
Article
em En
| MEDLINE
| ID: mdl-25888901
ABSTRACT
BACKGROUND:
In spite of numerous research efforts on supporting the therapy of diabetes mellitus, the subject still involves challenges and creates active interest among researchers. In this paper, a decision support tool is presented for setting insulin therapy in new-onset type 1 diabetes.METHODS:
The concept of differential sequential patterns (DSPs) is introduced with the aim of representing deviations in the patient's blood glucose level (BGL) and the amount of insulin injections administered. The decision support tool is created using data mining algorithms for discovering sequential patterns.RESULTS:
By using the DSPs, it is possible to support the physician's decisionmaking concerning changing the treatment (i.e., whether to increase or decrease the insulin dosage). The other contributions of the paper are an algorithm for generating DSPs and a new method for evaluating nocturnal glycaemia. The proposed qualitative evaluation of nocturnal glycaemia improves the generalization capabilities of the DSPs.CONCLUSIONS:
The usefulness of the proposed approach was evident in the results of experiments in which juvenile diabetic patients actual data were used. It was confirmed that the proposed DSPs can be used to guide the therapy of numerous juvenile patients with type 1 diabetes.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Glicemia
/
Técnicas de Apoio para a Decisão
/
Sistemas de Apoio a Decisões Clínicas
/
Diabetes Mellitus Tipo 1
/
Insulina
Tipo de estudo:
Prognostic_studies
/
Qualitative_research
Limite:
Humans
Idioma:
En
Revista:
Biomed Eng Online
Assunto da revista:
ENGENHARIA BIOMEDICA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Polônia